Public Sector Data Science & AI Specialist

McKinsey; Newark (NJ); On-site; USD 173,000 - 211,000; Full time

Benefits offered by this job

World-class benefits

Job summary

McKinsey & Company is seeking a data science professional to join the SHaPE practice in the United States. You will collaborate with consultants, data scientists, data engineers, and industry experts to build data science and AI solutions for government, public health, and social sector clients.

You will balance hands-on model development with advisory work, translating client problems into ML actions, and guiding clients on AI adoption, governance, and value realization.

Qualifications

• US citizenship is required.
• Bachelor's degree in a quantitative field; advanced degree is a plus.
• 4+ years of experience applying machine learning, statistics, or optimization to real problems.

Responsibilities

• Work on data science and AI solutions for government, health care, and social sectors.
• Translate client problems into ML tasks and build data pipelines and features.
• Apply MLOps and LLMOps practices to move models from prototype to production.
• Explain technical results to non-technical audiences and advise on data governance and responsible AI.

Skills

Python

SQL

Leadership

Communication

Problem solving

Education

Bachelor's degree in CS/Stats/Math/Engineering/Economics/Data Science

Advanced degree a plus

Tools

Git

MLflow

Cloud platforms (GCP/AWS)

Job description

McKinsey & Company is seeking a data science professional to join the SHaPE practice in the United States. You will collaborate with consultants, data scientists, data engineers, and industry experts to build data science and AI solutions for government, public health, and social sector clients.

You will balance hands-on model development with advisory work, translating client problems into ML actions, and guiding clients on AI adoption, governance, and value realization.